Collective motion control of air vehicles is an effective method to realize multifunctional and high-reliable aerial surveillance system by combining the various functions of numbers of air vehicles and by utilizing high degree of redundancy. In this study, the biologically-inspired collective motion control is incorporated to realize the collective motion of air vehicles. This control employs simple local interactions among agents in a group, and the properties of collective motion are determined by several interaction parameters, e.g. the size of interaction field around the agent and the number of neighbors of the agent engaged in the interaction at the same time. The dependency of collective motion of air vehicles on such interaction parameters is investigated here and the key interaction parameters are clarified which affect significantly the motion or shape parameters of the group. The existence of correlations among several motion or shape parameters is also clarified.